1887

Abstract

Summary

Euler deconvolution is a popular method to estimate the source position, but a discrimination technique is needed to distinguish reliable solutions because of the influence of noise and other factors. We have developed a new method that reduces the number of spurious solutions in Euler deconvolution. Our method, called Angle Variation Selection Method, employs the movement rate of Euler solutions and the variation of the angle between the sliding direction of the moving-data window and the directed line from window center to Euler solution to select reliable solutions. Specifically, in the sliding direction of the moving-data window, if the Euler solutions move slower than the moving-data windows, the coordinates of the moving-data window center and the corresponding solutions will be saved. And then saving the solutions satisfy the criterion that the angle changes from acute angle to obtuse angle. The results from the model and measured data show that our method can be conducted easily and effectively reduce the number of spurious solutions.

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/content/papers/10.3997/2214-4609.201901057
2019-06-03
2020-02-24
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References

  1. Fedi, M., Florio, G., & Quarta, T. A.
    [2009]. Multiridge analysis of potential fields: Geometric method and reduced Euler deconvolution. Geophysics, 74(4), L53–L65.
    [Google Scholar]
  2. FitzGerald, D., Reid, A., & McInerney, P.
    [2003]. New discrimination techniques for Euler deconvolution. In 8th SAGA Biennial Technical Meeting and Exhibition.
    [Google Scholar]
  3. Melo, F. F., Barbosa, V. C., Uieda, L., Oliveira, V. C., & Silva, J. B.
    [2013]. Supplementary material to “Estimating the nature and the horizontal and vertical positions of 3D magnetic sources using Euler deconvolution”.
    [Google Scholar]
  4. Reid, A. B., Ebbing, J., & Webb, S. J.
    [2014]. Avoidable Euler errors–the use and abuse of Euler deconvolution applied to potential fields. Geophysical Prospecting, 62(5), 1162–1168.
    [Google Scholar]
  5. Silva J B C, Barbosa V C F.
    [2003]. 3D Euler deconvolution: Theoretical basis for automatically selecting good solutions[J]. Geophysics, 68(6): 1962–1968.
    [Google Scholar]
  6. YAO, C. L., GUAN, Z. N., Wu, Q. B., Zhang, Y. W., & Liu, H. J.
    [2004]. An analysis of Euler deconvolution and its improvement. Geophysical & Geochemical exploration, 28, 150–155.
    [Google Scholar]
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